To gain insight into which features are important for predicting volatility, we used the Captum library for model interpretability. More specifically, we used the feature ablation function [1]} to understand important features that contribute to the prediction of each of the models. Table REF  shows the top 3 features in terms of the absolute value of the weight attribute score based on the feature ablation attribution algorithm for each of the models.
